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  <title>Yijun Lin | 林逸君</title>
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            <h1 class="display-4"> Yijun Lin | 林逸君 </h1>
            <p><br> Ph.D. Student <br>
               Computer Science Department <br>
               Viterbi School of Engineering <br>
               University of Southern California </p>
            <p class="font-italic"> Email: <a href="mailto:yijunlin@usc.edu">yijunlin@usc.edu</a></p>
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        <h4 class="">Biography</h4>
        <p>I am a second-year Ph.D. student in Computer Science at the <a href="https://www.usc.edu/" target="_blank">University of Southern California</a> (USC) advised by Prof. <a href="https://spatial.usc.edu/team-view/yao-yi-chiang/" target="_blank">Yao-Yi Chiang</a>. Before that, I received my Master degree in <a href="https://informatics.usc.edu/academics/master-of-science-in-data-informatics/" target="_blank">Data Informatics Program</a> from USC in 2017 and my Bachelor degree in Information Security from <a href="https://en.tongji.edu.cn/" target="_blank">Tongji University</a>, Shanghai in 2015, under the supervision of Prof. Zhijun Ding.
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        <p>I am mainly working on algorithms and systems using location-dependent timeseries data. Currently, I am responsible for the project, PRISMS, which is building an explainable deep learning architecture to predict fine-spatial-scale air quality levels (e.g., PM2.5 concentrations) with multi-source web data (e.g., meteorological and geographic information).</p>

        <p>More information is available in my <a href="personal_files/CV_Yijun.pdf" target="_blank">CV</a> and on our <a href="http://spatial-computing.github.io/" target="_blank">Spatial Computing Lab</a> website.
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        <h4 class="">Research Interests</h4>
        <li>Data Mining - Discovering interesting patterns from large-scale datasets</li>
        <li>Spatiotemporal Data Analysis - Learning spatial and temporal relationships in the location-dependent timeseries data</li> 
        <li>Machine Learning - Building ML/DL models to automatically extract useful information to solve real world problems</li><br>
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            <li class="list-inline-item text-muted"> &copy; 2019 Yijun Lin</li>
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